forked from phoenix/litellm-mirror
116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
import sys
|
|
|
|
import os
|
|
|
|
sys.path.insert(0, os.path.abspath("../.."))
|
|
|
|
import asyncio
|
|
import litellm
|
|
from litellm._logging import verbose_logger
|
|
import logging
|
|
import time
|
|
import pytest
|
|
|
|
|
|
def test_langsmith_logging_async():
|
|
try:
|
|
os.environ["LANGSMITH_API_KEY"] = "lsv2_anything"
|
|
os.environ["LANGSMITH_PROJECT"] = "pr-b"
|
|
os.environ["LANGSMITH_BASE_URL"] = (
|
|
"https://exampleopenaiendpoint-production.up.railway.app"
|
|
)
|
|
|
|
percentage_diffs = []
|
|
|
|
for run in range(3):
|
|
print(f"\nRun {run + 1}:")
|
|
|
|
# Test with empty success_callback
|
|
litellm.success_callback = []
|
|
litellm.callbacks = []
|
|
litellm._async_success_callback = []
|
|
litellm._async_failure_callback = []
|
|
litellm.failure_callback = []
|
|
start_time_empty_callback = asyncio.run(make_async_calls())
|
|
print("Done with no callback test")
|
|
|
|
# Test with langsmith callback
|
|
print("Starting langsmith test")
|
|
litellm.success_callback = ["langsmith"]
|
|
start_time_langsmith = asyncio.run(make_async_calls())
|
|
print("Done with langsmith test")
|
|
|
|
# Compare times and calculate percentage difference
|
|
print(f"Time with success_callback='langsmith': {start_time_langsmith}")
|
|
print(f"Time with empty success_callback: {start_time_empty_callback}")
|
|
|
|
percentage_diff = (
|
|
abs(start_time_langsmith - start_time_empty_callback)
|
|
/ start_time_empty_callback
|
|
* 100
|
|
)
|
|
percentage_diffs.append(percentage_diff)
|
|
print(f"Performance difference: {percentage_diff:.2f}%")
|
|
print("percentage_diffs", percentage_diffs)
|
|
# Calculate average percentage difference
|
|
avg_percentage_diff = sum(percentage_diffs) / len(percentage_diffs)
|
|
print(f"\nAverage performance difference: {avg_percentage_diff:.2f}%")
|
|
|
|
# Assert that the average difference is not more than 10%
|
|
assert (
|
|
avg_percentage_diff < 10
|
|
), f"Average performance difference of {avg_percentage_diff:.2f}% exceeds 10% threshold"
|
|
|
|
except litellm.Timeout as e:
|
|
pass
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred - {e}")
|
|
|
|
except litellm.Timeout as e:
|
|
pass
|
|
except Exception as e:
|
|
pytest.fail(f"An exception occurred - {e}")
|
|
|
|
|
|
async def make_async_calls(metadata=None, **completion_kwargs):
|
|
total_tasks = 300
|
|
batch_size = 100
|
|
total_time = 0
|
|
|
|
for batch in range(3):
|
|
tasks = [create_async_task() for _ in range(batch_size)]
|
|
|
|
start_time = asyncio.get_event_loop().time()
|
|
responses = await asyncio.gather(*tasks)
|
|
|
|
for idx, response in enumerate(responses):
|
|
print(f"Response from Task {batch * batch_size + idx + 1}: {response}")
|
|
|
|
await asyncio.sleep(1)
|
|
|
|
batch_time = asyncio.get_event_loop().time() - start_time
|
|
total_time += batch_time
|
|
|
|
return total_time
|
|
|
|
|
|
def create_async_task(**completion_kwargs):
|
|
"""
|
|
Creates an async task for the litellm.acompletion function.
|
|
This is just the task, but it is not run here.
|
|
To run the task it must be awaited or used in other asyncio coroutine execution functions like asyncio.gather.
|
|
Any kwargs passed to this function will be passed to the litellm.acompletion function.
|
|
By default a standard set of arguments are used for the litellm.acompletion function.
|
|
"""
|
|
completion_args = {
|
|
"model": "openai/chatgpt-v-2",
|
|
"api_version": "2024-02-01",
|
|
"messages": [{"role": "user", "content": "This is a test"}],
|
|
"max_tokens": 5,
|
|
"temperature": 0.7,
|
|
"timeout": 5,
|
|
"user": "langfuse_latency_test_user",
|
|
"mock_response": "hello from my load test",
|
|
}
|
|
completion_args.update(completion_kwargs)
|
|
return asyncio.create_task(litellm.acompletion(**completion_args))
|